Data Science DC is a non-profit professional group that meets monthly to discuss diverse topics in predictive analytics, applied machine learning, statistical modeling, open data, and data visualization. Our members are professionals, students, and others with a deep interest in these fields and related technologies. Meeting topics are varied and range from tutorials on basic concepts and their applications, to success stories from local practitioners, to discussions of tools, new technologies, and best practices. All are welcome -- to attend, to meet others, and to present their work!
Data Science DC is a Program of Data Community DC, Inc.
DSDC: Predictive Analytics, Applied Statistics & Machine Learning
March 8 · 6:30 PM
Quantum Computing and Machine Learning
For our March Data Science DC Meetup, we will be exploring the rapidly developing field of quantum computing. John Kelly and Tristan Cook, of QxBranch, will introduce us... Learn more
January 14 · 6:30 PM
What has Kaggle learned from 2+ million models?
NOTE: This is a special DSDC/SPDC joint event. Please RSVP on the SPDC event page http://www.meetup.com/stats-prog-dc/events/227886991/ to get an accurate count for food... Learn more
January 5 · 6:30 PM
Ensemble Clustering as a Scalable Solution
For our first Data Science DC Meetup of 2016, we will be delving into how to scale up unsupervised learning -- the process of finding structure and groups in unlabeled... Learn more
Nov 17, 2015 · 6:30 PM
Socially Responsible Algorithms for Data Science
For our November Data Science DC, we're thrilled to have to speakers talk about machine learning algorithms and how they can be socially responsible, or not. Mike... Learn more
Oct 29, 2015 · 6:30 PM
Six World Series: Time Series Analysis and Forecasting
For our October Data Science DC Meetup, we're talking about the World Series. No, not that World Series* -- time-series data about the world! Long-time DSDC attendee Lee... Learn more